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Grant: Project Grant

Sunnybrook Research Institute (Toronto, Ontario)

$787,950.00

Combining Advanced Metabolic MRI with Genomics to Refine the Treatment Paradigm for Grade 2/3 IDH-wildtype Astrocytoma ("Molecular Glioblastoma")

FY 2023-24

Summary
Gliomas are brain tumours mainly affecting young adults. They are currently classified and treated based on several markers such as tumour grade that categorizes tumours based on how abnormal the cells and tissue are and several molecular markers. Typically, low grade gliomas (LLG) have a better outcome and less aggressive treatment than high grade gliomas (HGG). There is a subclass of LLG called "molecular glioblastomas" which resemble, due to their molecular biomarkers HGG. It remains unclear - should they be treated as low or high grade? Determining better prognostic markers to personalize the therapeutic approach for these types of brain tumours is needed. We will study whether Magnetic Resonance Imaging (MRI) with molecular markers improve molecular glioblastoma diagnosis. We will use MRI for microstructural and metabolic evaluation of tumour and molecular markers to further assess tumour type. We will: 1. Compare imaging and genetic characteristics of molecular glioblastoma to GBM and also less invasive gliomas, to distinguish further glioma subtypes. 2. Monitor the molecular glioblastoma response of therapy with MRI to define the best biomarker of response. 60 molecular glioblastoma patients will undergo MRI scans three times (before, at two weeks post radiation treatment and two weeks after chemo therapy). These tumours will be compared to two control groups: 60 patients with less invasive gliomas (which have special gene mutation) and 60 patients with GBM. We will use novel MRI techniques developed by our group that are more specific than standard, clinical imaging protocols and state-of-the-art genotyping. This project will provide a more precise stratification of molecular glioblastoma by developing non-contrast-based MRI to develop more precise treatment strategies leading to improved patient management and outcomes.
Program
Project Grant
Location
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
498888
Name
Stanisz Greg J
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
Medical Physics & Imaging
Projecttitle
Combining Advanced Metabolic MRI with Genomics to Refine the Treatment Paradigm for Grade 2/3 IDH-wildtype Astrocytoma ("Molecular Glioblastoma")
Programtype2
Operating Grants
Orgnameinp2
Sunnybrook Research Institute (Toronto, Ontario)
Cihramount2
$787,950
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Astrocytomas; Brain Tumour; Cest; Gbm; Gd-Enhancement Mri; Gliomas; Magnetization Transfer; Molecular Gioblastoma; Mri; Screening
Abstract
Gliomas are brain tumours mainly affecting young adults. They are currently classified and treated based on several markers such as tumour grade that categorizes tumours based on how abnormal the cells and tissue are and several molecular markers. Typically, low grade gliomas (LLG) have a better outcome and less aggressive treatment than high grade gliomas (HGG). There is a subclass of LLG called "molecular glioblastomas" which resemble, due to their molecular biomarkers HGG. It remains unclear - should they be treated as low or high grade? Determining better prognostic markers to personalize the therapeutic approach for these types of brain tumours is needed. We will study whether Magnetic Resonance Imaging (MRI) with molecular markers improve molecular glioblastoma diagnosis. We will use MRI for microstructural and metabolic evaluation of tumour and molecular markers to further assess tumour type. We will: 1. Compare imaging and genetic characteristics of molecular glioblastoma to GBM and also less invasive gliomas, to distinguish further glioma subtypes. 2. Monitor the molecular glioblastoma response of therapy with MRI to define the best biomarker of response. 60 molecular glioblastoma patients will undergo MRI scans three times (before, at two weeks post radiation treatment and two weeks after chemo therapy). These tumours will be compared to two control groups: 60 patients with less invasive gliomas (which have special gene mutation) and 60 patients with GBM. We will use novel MRI techniques developed by our group that are more specific than standard, clinical imaging protocols and state-of-the-art genotyping. This project will provide a more precise stratification of molecular glioblastoma by developing non-contrast-based MRI to develop more precise treatment strategies leading to improved patient management and outcomes.
Competitiondate
202403
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Stanisz, Greg J; Dinakaran, Deepak; Lim-Fat, Mary Jane; Sahgal, Arjun
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $787,950~ $0~